Triple

T12739251
Position Surface form Disambiguated ID Type / Status
Subject İzmir urban transport network E304444 entity
Predicate connects P390 FINISHED
Object Konak E62382 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Konak | Statement: [İzmir urban transport network, connects, Konak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Konak
Context triple: [İzmir urban transport network, connects, Konak]
  • A. Konak chosen
    Konak is the central historic district of İzmir, Turkey, known for its waterfront, clock tower, and role as the city’s administrative and cultural hub.
  • B. Konak Municipality
    Konak Municipality is a local government authority in the Konak district of İzmir, Turkey, responsible for providing municipal services and administration for the area.
  • C. Kanık
    Kanık is the surname of the influential Turkish poet Orhan Veli Kanık, a leading figure in modern Turkish literature and the Garip movement.
  • D. Özkonak
    Özkonak is an ancient multi-level underground city in Turkey’s Cappadocia region, known for its rock-carved tunnels, living spaces, and defensive features.
  • E. Kocaali
    Kocaali is a coastal town and district in northwestern Turkey, situated along the Black Sea in Sakarya Province.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9646cfcac81909283dca987755c0e completed April 10, 2026, 8:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68eb388488190a30866e9a7a0bc41 completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:26 p.m.